Performance comparison of ML models. by Gourab Saha (8987405)

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Evaluation metrics of selected ML models. by Gourab Saha (8987405)

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Performance Table for ML Models. by Gaurav Sandeep Dave (21519884)

“…The quality of recorded data plays a crucial role and directly influences the data transformation phase in machine learning (ML) and deep learning (DL) models. The Dewesoft FFT DAQ system is designed to extract the high-quality data from the CPM based on sensor fusion technology. …”

Crop yield prediction accuracy using different ML algorithms. by Gourab Saha (8987405)

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Table 1_WGCNA-ML-MR integration: uncovering immune-related genes in prostate cancer.docx by Jing Lv (128179)

Image 1_WGCNA-ML-MR integration: uncovering immune-related genes in prostate cancer.tif by Jing Lv (128179)

Table 2_Identify predictive factors for the emergence of self-reported oropharyngeal dysphagia in older men and women populations: a retrospective cohort analysis.xlsx by Shuang Liu (8449)

Table 3_Identify predictive factors for the emergence of self-reported oropharyngeal dysphagia in older men and women populations: a retrospective cohort analysis.xlsx by Shuang Liu (8449)

Table 1_Identify predictive factors for the emergence of self-reported oropharyngeal dysphagia in older men and women populations: a retrospective cohort analysis.xlsx by Shuang Liu (8449)

AI KRegression by CHIN-CHENG CHU (20718575)

Example of accuracy plots for soil organic carbon (oc_usda.c729_w.pct) content and soil pH in water (ph.h2o_usda.a268_index) with Lin’s CCC gradually decreasing from MIR to NIR Neo... by José L. Safanelli (20552654)

Daily number of adverse outcomes (bars) and area under the receiver operating characteristic curve per day of the PIERS-ML model. by Guiyou Yang (10259597)

Daily number of adverse outcomes (bars) and area under the precision-recall curve (AUC-PRC) per day of the PIERS-ML model. by Guiyou Yang (10259597)

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

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Correlation between TMscore and Length of the RNAs for RNAs longer than 100 nucleotides. by Akash Bahai (20485919)

Correlation between RMSD and Length of the RNAs for RNAs longer than 100 nucleotides. by Akash Bahai (20485919)

Decision curve analysis of PIERS-ML model on day 0 (a), day 4 (b), day 8 (c), and day 13 (d). by Guiyou Yang (10259597)

Global and local feature (predictor variable) explanations from the XGBoost trained with Quebec data (2014–2021). by Hamid Ghanbari (6821096)

The result of applying the OKO method on eciML1515 model for overproducing 41 native metabolites of <i>E</i>. <i>coli</i>. by Zahra Razaghi-Moghadam (1426774)

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”